Area and Energy Efficient Method Using AI for Noise Cancellation in Ear Phones-Reference-Cited by-同舟云学术

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Area and Energy Efficient Method Using AI for Noise Cancellation in Ear Phones

Published:2023-10-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS)
language:
Short-container-title:

Author:

Manikandan R.¹,Ramkumar S.²,Prabhakaran M.³

Affiliation:

1. School of Business and Management Christ (Deemed to be University),Department of Lean Operations and Systems,Bengaluru,Karnataka,India

2. School of Sciences, Christ (Deemed to be University),Department of Computer Science,Bengaluru,Karnataka,India

3. Alliance College of Engineering and Design, Alliance University,Department of computer science and engineering,Bengaluru,Karnataka,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10330805/10331621/10331813.pdf?arnumber=10331813

Reference24 articles.

1. Efficient very large‐scale integration architecture for variable length block least mean square adaptive filter

2. Design of an efficient active noise cancellation circuit for in-ear headphones

3. LMS Adaptive Filters for Noise Cancellation: A Review

4. Single-channel acoustic echo cancellation in noise based on gradient-based adaptive filtering

5. The hands-free telephone problem- An annotated bibliography

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